| #!/bin/sh | |
| # ============================================================ | |
| # 🧹 macOS Developer Cleanup Script — v5.0 | |
| # | |
| # COMPATIBILITY: | |
| # Works with any POSIX-compliant shell — bash 3.2+, bash 5, | |
| # zsh, dash, sh. No bash-specific features used. | |
| # Tested on macOS (default bash 3.2 / zsh) and Linux. | |
| # |
Project: NousResearch/hermes-agent
Date: 2026-04-20
Scope: Integration surfaces for external systems communicating with Hermes
This document catalogs the points where external systems can integrate with Hermes Agent: CLI commands, MCP server/client modes, ACP (Agent Client Protocol), messaging platforms, plugins, tools, skills, webhooks, cron, and Python embedding.
| #!/usr/bin/env bash | |
| set -e | |
| if [ $# != 3 ]; then | |
| echo 'Usage: nc-tcp-forward.sh $FRONTPORT $BACKHOST $BACKPORT' >&2 | |
| exit 1 | |
| fi |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
If you are developing a web application and want to test it on your iPhone, you can access your localhost development server directly from your iPhone. Here's how to do it:
| #!/usr/bin/env -S uv run --script | |
| # /// script | |
| # requires-python = ">=3.14" | |
| # dependencies = ["httpx", "pydantic", "rich"] | |
| # /// | |
| """CLI for https://hackmonty.com. | |
| Submits a local Python file to `/run/` and drives the pause/resume loop end to | |
| end. A second local Python file may supply module-level names used to resolve | |
| external function calls and name lookups the sandbox hands back to the client. |